The suitability of cyclostationary spectral analysis for the detection and identification of typical SATCOM signals is examined. An overview of the general equations for cyclostationary spectral analysis is presented. The cyclic spectrum is derived for some common SATCOM modulation schemes. Cyclic spectrum estimation techniques are described with particular emphasis on the time-smoothed approach. Key aspects of a computationally-efficient algorithm for computing the cyclic spectrum estimates, called the "Fast Fourier Transform (FFT) Accumulation Method" (FAM) are outlined. The FAM algorithm is implemented on a Digital Signal Processor/Personal Computer (DSP/PC) board containing a TMS320c51 processor chip and used to compute the cyclic spectrum for various phase-shift-keyed (PSK) and spread spectrum waveforms. The results are presented and discussed.